I used the viral AI helper to order groceries, sort emails, and negotiate deals. Then it decided to scam me. OpenClaw, a powerful new agentic assistant, has a thing for guacamole. This is one of several things I discovered while using the viral artificial intelligence bot as my personal assistant this past week. Previously known as both Clawdbot and Moltbot, OpenClaw recently became a Silicon Valley darling, charming AI enthusiasts and investors eager to either embrace the bleeding edge or profit from it.

These plant-based meal kits and delivery services bring healthy preprepared meals and meal kits to your door. Plant-Based meal kit services are a modern miracle for vegetarians and vegans, who usually aren't afforded the same conveniences as meat eaters or those without dietary restrictions. We at WIRED love meal kits, because they're all about modern convenience--you can eat what you want, even if you're on a specialty diet or have strong food preferences, without ever leaving your house. Gone are the days of grocery shopping and scouring online for recipes; these contemporary plant-based meal kit services do the heavy lifting for you using curated menus and algorithms, with choices for both premade microwavable meals and kits where you do the cooking yourself. Some plant-based meal kit services, like Hungryroot, use AI customization to curate menus based on your specific tastes. Others, like Daily Harvest, have a set selection of choices so you can always keep your freezer stocked with plant-based, gluten-free meals to have on hand. I'm vegan, so I know how difficult it can be to find new recipes that will actually taste good without breaking the bank. Plus, plant-based meal kits are a great way to try out new foods and recipes, especially if you're looking to switch to a healthier diet in the new year.

From gas to groceries, has Trump kept his promise to tackle rising prices? President Donald Trump was swept to power for a second time on the back of a central campaign promise to tackle inflation. The steep rise in the cost of living was top of voters' minds and Trump blamed President Joe Biden. He also made sweeping promises to bring down prices for Americans starting on day one. One year on from his victory, BBC Verify revisits some of the president's claims.

Modern e-commerce platforms strive to enhance customer experience by providing timely and contextually relevant recommendations. However, recommending general merchandise to customers focused on grocery shopping -- such as pairing milk with a milk frother -- remains a critical yet under-explored challenge. This paper introduces a cross-pollination (XP) framework, a novel approach that bridges grocery and general merchandise cross-category recommendations by leveraging multi-source product associations and real-time cart context. Our solution employs a two-stage framework: (1) A candidate generation mechanism that uses co-purchase market basket analysis and LLM-based approach to identify novel item-item associations; and (2) a transformer-based ranker that leverages the real-time sequential cart context and optimizes for engagement signals such as add-to-carts. Offline analysis and online A/B tests show an increase of 36\% add-to-cart rate with LLM-based retrieval on the item page, and 15\% lift in add-to-cart using cart context-based ranker on the cart page. Our work contributes practical techniques for cross-category recommendations and broader insights for e-commerce systems.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Starting Oct. 1, over 2,700 Kroger locations will be available on DoorDash. Customers will be able to shop the store's entire selection. Above, bagged purchases from a Kroger grocery store sit in a shopping cart in Flowood, Miss. This is read by an automated voice.

These vegan meal kits and delivery services bring preprepared meals and meal kits to your door. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Vegan-specific meal kit services are a modern miracle for vegans, who usually aren't afforded the same conveniences as meat eaters or those without dietary restrictions. We at WIRED love meal kits, because they're all about modern convenience--you can eat what you want, even if you're on a specialty diet or have strong food preferences, without ever leaving your house. Gone are the days of grocery shopping and scouring online for recipes; these contemporary vegan meal kit services do the heavy lifting for you using curated menus and algorithms, with choices for both premade microwavable meals and kits where you do the cooking yourself. Some vegan meal kit services, like Hungryroot, use AI customization to curate menus based on your specific tastes. Others, like Daily Harvest, have a set selection of choices so you can always keep your freezer stocked with vegan, gluten-free meals to have on hand.

A fully automated warehouse system is changing the way we shop for groceries. GROCERIES IN 5 MIN: Imagine a grocery store where your entire order is picked, packed and ready for delivery in just five minutes without a single human hand touching your food. BRAVE NEW WORLD: Anthropic – the company behind the artificial intelligence platform Claude – anticipates that digital AI employees will appear on corporate networks in the next year, the organization's top security leader informed Axios. THESE FUELS ARE OUT: Imagine powering your boat not with gasoline but with clean hydrogen fuel. That's exactly what Yamaha, together with Roush Industries and Regulator Marine, is working on right now.

A fully automated warehouse system is changing the way we shop for groceries. Imagine a grocery store where your entire order is picked, packed and ready for delivery in just five minutes without a single human hand touching your food. This is exactly what's happening inside Ocado's revolutionary Hive, a fully automated warehouse system that's changing the way we shop for groceries. At the core of Ocado's Customer Fulfilment Centres, or CFCs, is The Hive, a massive 3D grid filled with thousands of grocery products. GET SECURITY ALERTS & EXPERT TECH TIPS -- SIGN UP FOR KURT'S THE CYBERGUY REPORT NOW Picture fleets of robots or "bots" zipping around at speeds up to about 9 miles per hour, all coordinated by an AI-powered "air traffic control" system that talks to each bot ten times every second.

LLM-Pack: Intuitive Grocery Handling for Logistics Applications Y annik Blei 1, Michael Krawez 1, Tobias Jülg 1, Pierre Krack 1, Florian Walter 1 and Wolfram Burgard 1 Abstract -- Robotics and automation are increasingly influential in logistics but remain largely confined to traditional warehouses. In grocery retail, advancements such as cashier-less supermarkets exist, yet customers still manually pick and pack groceries. While there has been a substantial focus in robotics on the bin picking problem, the task of packing objects and groceries has remained largely untouched. However, packing grocery items in the right order is crucial for preventing product damage, e.g., heavy objects should not be placed on top of fragile ones. However, the exact criteria for the right packing order are hard to define, in particular given the huge variety of objects typically found in stores. In this paper, we introduce LLM-Pack, a novel approach for grocery packing. LLM-Pack leverages language and vision foundation models for identifying groceries and generating a packing sequence that mimics human packing strategy. LLM-Pack does not require dedicated training to handle new grocery items and its modularity allows easy upgrades of the underlying foundation models. We extensively evaluate our approach to demonstrate its performance.

Topic models are widely used for discovering latent thematic structures in large text corpora, yet traditional unsupervised methods often struggle to align with predefined conceptual domains. This paper introduces Seeded Poisson Factorization (SPF), a novel approach that extends the Poisson Factorization framework by incorporating domain knowledge through seed words. SPF enables a more interpretable and structured topic discovery by modifying the prior distribution of topic-specific term intensities, assigning higher initial rates to predefined seed words. The model is estimated using variational inference with stochastic gradient optimization, ensuring scalability to large datasets. We apply SPF to an Amazon customer feedback dataset, leveraging predefined product categories as guiding structures. Our evaluation demonstrates that SPF achieves superior classification performance compared to alternative guided topic models, particularly in terms of computational efficiency and predictive performance. Furthermore, robustness checks highlight SPF's ability to adaptively balance domain knowledge and data-driven topic discovery, even in cases of imperfect seed word selection. These results establish SPF as a powerful and scalable alternative for integrating expert knowledge into topic modeling, enhancing both interpretability and efficiency in real-world applications.